A Pareto-based hybrid iterated greedy algorithm for energy-efficient scheduling of distributed hybrid flowshop

作者：

Highlights：

• Considering green scheduling in distributed hybrid flowshop environment.

• Designing a new energy-saving strategy into this problem.

• Proposing a Pareto-based multi-objective hybrid iterated greedy algorithm (MOHIG).

• Evaluating performance of the proposed MOHIG by conducting comparison experiments.

摘要

•Considering green scheduling in distributed hybrid flowshop environment.•Designing a new energy-saving strategy into this problem.•Proposing a Pareto-based multi-objective hybrid iterated greedy algorithm (MOHIG).•Evaluating performance of the proposed MOHIG by conducting comparison experiments.

论文关键词：Distributed hybrid flowshop scheduling,Multi-objective optimization,Energy-efficiency,Iterated greedy algorithm

论文评审过程：Received 13 February 2022, Revised 4 May 2022, Accepted 7 May 2022, Available online 16 May 2022, Version of Record 21 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117555